Detection of surface water and floods with multispectral satellites

C Albertini, A Gioia, V Iacobellis, S Manfreda - Remote Sensing, 2022 - mdpi.com
The use of multispectral satellite imagery for water monitoring is a fast and cost-effective
method that can benefit from the growing availability of medium–high-resolution and free …

[HTML][HTML] A review of coupled hydrologic and crop growth models

SM Siad, V Iacobellis, P Zdruli, A Gioia, I Stavi… - Agricultural Water …, 2019 - Elsevier
Coupling hydrologic and crop models is becoming an increasingly important approach in
the development of agro-hydrologic theme. Scientists and decision makers working to …

Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles

W Chen, H Hong, S Li, H Shahabi, Y Wang, X Wang… - Journal of …, 2019 - Elsevier
Flooding is a very common natural hazard that causes catastrophic effects worldwide.
Recently, ensemble-based techniques have become popular in flood susceptibility …

Threats of climate and land use change on future flood susceptibility

P Roy, SC Pal, R Chakrabortty, I Chowdhuri… - Journal of Cleaner …, 2020 - Elsevier
Management of any unstable situation or conditions helps to return it to its natural state. In
recent times, disaster management is required for sustainable management. Researchers …

Exploring Sentinel-1 and Sentinel-2 diversity for flood inundation map** using deep learning

G Konapala, SV Kumar, SK Ahmad - ISPRS Journal of Photogrammetry and …, 2021 - Elsevier
Identification of flood water extent from satellite images has historically relied on either
synthetic aperture radar (SAR) or multi-spectral (MS) imagery. MS sensors are limited to …

Investigating the role of model structure and surface roughness in generating flood inundation extents using one‐and two‐dimensional hydraulic models

Z Liu, V Merwade… - Journal of Flood Risk …, 2019 - Wiley Online Library
Hydraulic models play an important role in determining flood inundation areas. When
considering a wide array of one‐(1D) and two‐dimensional (2D) hydraulic models, selecting …

Flood risk assessment for Davao Oriental in the Philippines using geographic information system‐based multi‐criteria analysis and the maximum entropy model

JS Cabrera, HS Lee - Journal of Flood Risk Management, 2020 - Wiley Online Library
The assessments of flood‐prone areas and flood risk due to pluvial flooding for Davao
Oriental on Mindanao Island in the Philippines were carried out by the analytic hierarchy …

Geomorphic classifiers for flood-prone areas delineation for data-scarce environments

C Samela, TJ Troy, S Manfreda - Advances in water resources, 2017 - Elsevier
Knowing the location and the extent of the areas exposed to flood hazards is essential to
any strategy for minimizing the risk. Unfortunately, in ungauged basins the use of traditional …

A Bayesian network for flood detection combining SAR imagery and ancillary data

A D'Addabbo, A Refice, G Pasquariello… - … on Geoscience and …, 2016 - ieeexplore.ieee.org
Accurate flood map** is important for both planning activities during emergencies and as
a support for the successive assessment of damaged areas. A valuable information source …

A GIS tool for cost-effective delineation of flood-prone areas

C Samela, R Albano, A Sole, S Manfreda - Computers, Environment and …, 2018 - Elsevier
Delineation of flood hazard and flood risk areas is a critical issue, but practical difficulties
regularly make complete achievement of the task a challenge. In data-scarce environments …